Our client is a digital media and advertising agency that specializes in commerce media and creating data intelligence insights for their clients. They are looking to add a Director of Data Science (Media/Advertising) to their team. Salary/Hourly Rate: $180k - $195k Position Overview: This Director of Data Science (Media/Advertising) will work part of a growing team that will lead and be a sole contributor to their client work. The Director of Data Science (Media/Advertising) will create smart models for client deliverables, working within their data intelligence platform. Lots of growth potential. Responsibilities of the Director of Data Science (Media/Advertising): * Lead, create, and elevate current analytics methodology, build a replicable statistical framework within the constructs of a composable analytics framework, and their data platform. * Build Model outputs and inputs, working with the Data Engineering team to ensure data processes are automated and efficient. * Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers. * Incorporate multiple 3rd-party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. * Demonstrated ability to extract business insights from large datasets and use them to drive business change. * Mine, aggregate, and analyze data from databases to drive optimization and improvement. Required Experience/Skills for the Director of Data Science (Media/Advertising): * Familiarity with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. * Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.). * At least 5 years of experience in a Data Science/Machine Learning client analytics role. * Experience in working with client services teams and communicating technical findings directly with client technical team members. * Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies. * Deep expertise in Python (and libraries), R, SQL. * Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc. * Proven experience in interacting collaboratively with Product Management from analytic conceptualization, through hands-on exploratory data analysis (EDA), piloting, and production rollout within performant backend APIs. * Independently motivated to conceptualize and execute proactive client analysis. Education Requirements: * Bachelor's degree and/or Master's degree in a related field is preferred. Benefits: * Client-provided benefits available, upon eligibility.